Assessment of flooding and drought disaster risk in Henan, China by a multiscale approach

Floods and droughts, common global natural disasters, threaten the human safety, food security, and socioeconomic development. This study proposed a multiscale approach using climate data, SPI, and SPEI to analyze the spatial and temporal characteristics of droughts and floods in Henan Province, Chi...

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Main Authors: Cuimin Zhou, Weicheng Wu, Xinxin Ke, Yifei Song, Yecheng He, Wenjing Li, Yuan Li, Rong Jing, Peixia Song, Linqian Fu, Chunlian Mao, Meng Xie, Aohui Li, Xiaoping Song, Sicheng Li, Yingxu Song, Aiqing Chen
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Geomatics, Natural Hazards & Risk
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Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2025.2491474
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author Cuimin Zhou
Weicheng Wu
Xinxin Ke
Yifei Song
Yecheng He
Wenjing Li
Yuan Li
Rong Jing
Peixia Song
Linqian Fu
Chunlian Mao
Meng Xie
Aohui Li
Xiaoping Song
Sicheng Li
Yingxu Song
Aiqing Chen
author_facet Cuimin Zhou
Weicheng Wu
Xinxin Ke
Yifei Song
Yecheng He
Wenjing Li
Yuan Li
Rong Jing
Peixia Song
Linqian Fu
Chunlian Mao
Meng Xie
Aohui Li
Xiaoping Song
Sicheng Li
Yingxu Song
Aiqing Chen
author_sort Cuimin Zhou
collection DOAJ
description Floods and droughts, common global natural disasters, threaten the human safety, food security, and socioeconomic development. This study proposed a multiscale approach using climate data, SPI, and SPEI to analyze the spatial and temporal characteristics of droughts and floods in Henan Province, China, in the past decades. At the same time, Sentinel-1 SAR data of pre- and in-flood period of the “7·20 Extreme Rainstorm” event occurring in July 17-23, 2021 were applied to assess the impacts of floods on farmland and urban environment in Pingdingshan City as a local-scale assessment and verification of the regional-scale analysis. The results show that SPEI is closer to the historical record than SPI in terms of the extent of flood events, and the identified local-scale floods in the pilot site Pingdingshan by a decision-tree classification with a high overall accuracy (OA > 95%) and Kappa Coefficient (KC > 0.85) reached 41.7 km2. Our study found that farmlands and built-up areas were most affected by flooding. It highlights the effectiveness of multiscale research for climate-related disaster assessment, offering a replicable approach for global applications. Recommendations were provided to local governments for taking disaster prevention measures and sustainable land management.
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institution Kabale University
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publishDate 2025-12-01
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series Geomatics, Natural Hazards & Risk
spelling doaj-art-2f42df04a6c640b9bcb1befe480a0b402025-08-20T03:53:23ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132025-12-0116110.1080/19475705.2025.2491474Assessment of flooding and drought disaster risk in Henan, China by a multiscale approachCuimin Zhou0Weicheng Wu1Xinxin Ke2Yifei Song3Yecheng He4Wenjing Li5Yuan Li6Rong Jing7Peixia Song8Linqian Fu9Chunlian Mao10Meng Xie11Aohui Li12Xiaoping Song13Sicheng Li14Yingxu Song15Aiqing Chen16Faculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFaculty of Earth Sciences, East China University of Technology, Nanchang, Jiangxi, ChinaFloods and droughts, common global natural disasters, threaten the human safety, food security, and socioeconomic development. This study proposed a multiscale approach using climate data, SPI, and SPEI to analyze the spatial and temporal characteristics of droughts and floods in Henan Province, China, in the past decades. At the same time, Sentinel-1 SAR data of pre- and in-flood period of the “7·20 Extreme Rainstorm” event occurring in July 17-23, 2021 were applied to assess the impacts of floods on farmland and urban environment in Pingdingshan City as a local-scale assessment and verification of the regional-scale analysis. The results show that SPEI is closer to the historical record than SPI in terms of the extent of flood events, and the identified local-scale floods in the pilot site Pingdingshan by a decision-tree classification with a high overall accuracy (OA > 95%) and Kappa Coefficient (KC > 0.85) reached 41.7 km2. Our study found that farmlands and built-up areas were most affected by flooding. It highlights the effectiveness of multiscale research for climate-related disaster assessment, offering a replicable approach for global applications. Recommendations were provided to local governments for taking disaster prevention measures and sustainable land management.https://www.tandfonline.com/doi/10.1080/19475705.2025.2491474Flood and droughtstandardized precipitation index (SPI)standardized precipitation evapotranspiration index (SPEI)decision-tree classification
spellingShingle Cuimin Zhou
Weicheng Wu
Xinxin Ke
Yifei Song
Yecheng He
Wenjing Li
Yuan Li
Rong Jing
Peixia Song
Linqian Fu
Chunlian Mao
Meng Xie
Aohui Li
Xiaoping Song
Sicheng Li
Yingxu Song
Aiqing Chen
Assessment of flooding and drought disaster risk in Henan, China by a multiscale approach
Geomatics, Natural Hazards & Risk
Flood and drought
standardized precipitation index (SPI)
standardized precipitation evapotranspiration index (SPEI)
decision-tree classification
title Assessment of flooding and drought disaster risk in Henan, China by a multiscale approach
title_full Assessment of flooding and drought disaster risk in Henan, China by a multiscale approach
title_fullStr Assessment of flooding and drought disaster risk in Henan, China by a multiscale approach
title_full_unstemmed Assessment of flooding and drought disaster risk in Henan, China by a multiscale approach
title_short Assessment of flooding and drought disaster risk in Henan, China by a multiscale approach
title_sort assessment of flooding and drought disaster risk in henan china by a multiscale approach
topic Flood and drought
standardized precipitation index (SPI)
standardized precipitation evapotranspiration index (SPEI)
decision-tree classification
url https://www.tandfonline.com/doi/10.1080/19475705.2025.2491474
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